Design the AutoGen Agent System Architecture

Using AutoGen, design a multi-agent conversational system to detect security anomalies. Define at least three distinct agent roles (e.g., Log Monitor, News Analyst, Security Investigator, Reporting Agent), their respective capabilities, and how they will communicate and collaborate to achieve the task. Specify the communication patterns (e.g., hierarchical, peer-to-peer) and the data flow between them. Your design should consider how o4-mini will be integrated into the core reasoning of key agents. Provide an AutoGen configuration sketch. ```python
import autogen config_list = autogen.config_list_from_json( 'OAI_CONFIG_LIST', filter_dict={ 'model': ['o4-mini'], },
) # Define agent roles and their initial configurations here
# e.g., researcher = autogen.AssistantAgent(name="Researcher", llm_config={"config_list": config_list})
# code_executor = autogen.UserProxyAgent(name="CodeExecutor", code_execution_config={"last_n_messages": 3, "work_dir": "coding"}) # Define the agent collaboration flow
# e.g., autogen.Completion.start_chat(researcher, llm_config={"config_list": config_list}, message="Initial query...")
```